You're reading from Machine Learning with Amazon SageMaker Cookbook 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments

Product type Paperback

Published in Oct 2021

Publisher Packt

ISBN-13 9781800567030

Length 762 pages

Edition 1st Edition

Languages

Python

Tools

AWS

Concepts

Machine Learning

Author (1):

Joshua Arvin Lat

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Table of Contents (11) Chapters

Preface

1. Chapter 1: Getting Started with Machine Learning Using Amazon SageMaker

2. Chapter 2: Building and Using Your Own Algorithm Container Image FREE CHAPTER

3. Chapter 3: Using Machine Learning and Deep Learning Frameworks with Amazon SageMaker

4. Chapter 4: Preparing, Processing, and Analyzing the Data

5. Chapter 5: Effectively Managing Machine Learning Experiments

6. Chapter 6: Automated Machine Learning in Amazon SageMaker

7. Chapter 7: Working with SageMaker Feature Store, SageMaker Clarify, and SageMaker Model Monitor

8. Chapter 8: Solving NLP, Image Classification, and Time-Series Forecasting Problems with Built-in Algorithms

9. Chapter 9: Managing Machine Learning Workflows and Deployments

10. Other Books You May Enjoy

Technical requirements

To execute the recipes in the chapter, make sure you have the following:

An Amazon S3 bucket.
Permission to manage the Amazon SageMaker and Amazon S3 resources if you're using an AWS IAM user with a custom URL. If you are using the root account, then you should be able to proceed with the recipes in this chapter. However, it is recommended that you sign in as an AWS IAM user instead of using the root account in most cases. For more information, feel free to take a look at https://docs.aws.amazon.com/IAM/latest/UserGuide/best-practices.html.

If you do not have these prerequisites ready yet, feel free to check out the Preparing the Amazon S3 bucket and the training dataset for the linear regression experiment recipe of Chapter 1, Getting Started with Machine Learning Using Amazon SageMaker.

As the recipes in this chapter involve a bit of code, we have made these notebooks available in this book's GitHub repository: https://github...

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You're reading from Machine Learning with Amazon SageMaker Cookbook 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments

Table of Contents (11) Chapters

Technical requirements

Authors (1)

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You're reading from Machine Learning with Amazon SageMaker Cookbook 80 proven recipes for data scientists and developers to perform machine learning experiments and deployments

Table of Contents (11) Chapters

Technical requirements

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